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Connected devices are reshaping every industry — from smart manufacturing and precision agriculture to healthcare monitoring and autonomous systems. Kickstart IoT Systems Engineering provides a comprehensive, hands-on path from core IoT concepts to production-grade, AI-enabled deployments, bridging the gap between academic foundations and real industry practice. You begin with IoT architecture, sensors, microcontrollers, and communication protocols — including MQTT, REST APIs, LoRa, and BLE — then progressively build toward cloud-connected systems using Firebase, AWS IoT Core, and enterprise integration patterns. Every chapter is grounded in practical exercises, working with Arduino, NodeMCU, and ESP32 across real-world scenarios, including data logging, alert systems, GPIO control, and secure device communication. Thus, by the end of the book, you will design secure, scalable IoT systems capable of handling real-world complexity — from a single connected sensor to an enterprise-grade deployment.
Mr. Sandeep Telkar R is an Assistant Professor in the Department of Artificial Intelligence and Machine Learning at PES Institute of Technology & Management, Shivamogga (previously Shimoga). He holds an M.Tech in Digital Communication & Networking and a B.E. in Information Science & Engineering, with expertise in programming, machine learning, deep learning, and emerging AI technologies. Mr. Pavan Bendre R is an AI & Machine Learning Engineer and Data Engineer with expertise in Artificial Intelligence, Machine Learning, IoT systems, Data Engineering, and intelligent automation. He currently works as a Data Engineer at Saturam, where he builds scalable data pipelines and cloud-integrated intelligent solutions for real-world applications. Dr. Likewin Thomas is Professor and Head of the Department of Artificial Intelligence & Machine Learning at PES Institute of Technology and Management, Shivamogga. He holds a Ph.D. and M.Tech in Computer Science and Engineering from NITK Surathkal, and brings over two decades of experience spanning academia, industry, and research. Mrs. Akhila C V is an Assistant Professor at PES Institute of Technology and Management (PESITM), VTU, with academic qualifications in Computer Science and Engineering (B.E., M.Tech) and is currently pursuing her doctoral research. Her core areas of interest include Artificial Intelligence, Machine Learning, Data Science, and Database Management Systems. With a strong professional background of about 10 years in industry and 2.5 years in academia, she brings valuable practical perspectives into the classroom and her academic writing.
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